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Plasma confinement mode classification using a sequence-to-sequence neural network with attention

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Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

Plasma confinement mode classification using a sequence-to-sequence neural network with attention

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Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Global fluid simulations of plasma turbulence in stellarators

Nonlinear simulation of plasma turbulence using a gyrokinetic moment-based approach

Random matrix methods for high-dimensional machine learning models

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Long plasma duration operation analyses with an international multi-machine (tokamaks and stellarators) database

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Towards practical reinforcement learning for tokamak magnetic control

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Global fluid simulations of plasma turbulence in stellarators

Random matrix methods for high-dimensional machine learning models

Nonlinear simulation of plasma turbulence using a gyrokinetic moment-based approach

Long plasma duration operation analyses with an international multi-machine (tokamaks and stellarators) database

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Towards practical reinforcement learning for tokamak magnetic control

Deep Learning Theory Through the Lens of Diagonal Linear Networks